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Evaluating the genome-wide impacts of species translocations: the greater prairie-chicken as a case study. CONSERV GENET 2021. [DOI: 10.1007/s10592-021-01412-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Chafin TK, Zbinden ZD, Douglas MR, Martin BT, Middaugh CR, Gray MC, Ballard JR, Douglas ME. Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer. Evol Appl 2021; 14:1673-1689. [PMID: 34178112 PMCID: PMC8210790 DOI: 10.1111/eva.13233] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 03/10/2021] [Indexed: 01/16/2023] Open
Abstract
Approximately 100 years ago, unregulated harvest nearly eliminated white-tailed deer (Odocoileus virginianus) from eastern North America, which subsequently served to catalyze wildlife management as a national priority. An extensive stock-replenishment effort soon followed, with deer broadly translocated among states as a means of re-establishment. However, an unintended consequence was that natural patterns of gene flow became obscured and pretranslocation signatures of population structure were replaced. We applied cutting-edge molecular and biogeographic tools to disentangle genetic signatures of historical management from those reflecting spatially heterogeneous dispersal by evaluating 35,099 single nucleotide polymorphisms (SNPs) derived via reduced-representation genomic sequencing from 1143 deer sampled statewide in Arkansas. We then employed Simpson's diversity index to summarize ancestry assignments and visualize spatial genetic transitions. Using sub-sampled transects across these transitions, we tested clinal patterns across loci against theoretical expectations of their response under scenarios of re-colonization and restricted dispersal. Two salient results emerged: (A) Genetic signatures from historic translocations are demonstrably apparent; and (B) Geographic filters (major rivers; urban centers; highways) now act as inflection points for the distribution of this contemporary ancestry. These results yielded a statewide assessment of contemporary population structure in deer as driven by historic translocations as well as ongoing processes. In addition, the analytical framework employed herein to effectively decipher extant/historic drivers of deer distribution in Arkansas is also applicable for other biodiversity elements with similarly complex demographic histories.
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Affiliation(s)
- Tyler K. Chafin
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
- Present address:
Department of Ecology and Evolutionary BiologyUniversity of ColoradoBoulderCOUSA
| | - Zachery D. Zbinden
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - Marlis R. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - Bradley T. Martin
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | | | - M. Cory Gray
- Research DivisionArkansas Game and Fish CommissionLittle RockARUSA
| | | | - Michael E. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
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Turner MA, Gulsby WD, Ditchkoff SS, Gray WN, Cook CW. Effects of breeding chronology on white‐tailed deer productivity in Alabama. WILDLIFE SOC B 2019. [DOI: 10.1002/wsb.1031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Mark A. Turner
- School of Forestry and Wildlife SciencesAuburn University Auburn AL 36849 USA
| | - William D. Gulsby
- School of Forestry and Wildlife SciencesAuburn University Auburn AL 36849 USA
| | | | - William N. Gray
- Alabama Division of Wildlife and Freshwater Fisheries 3520 Plaza Drive Enterprise AL 36330 USA
| | - Christopher W. Cook
- Alabama Division of Wildlife and Freshwater Fisheries 8211 McFarland Blvd West Northport AL 35476 USA
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Budd K, Berkman LK, Anderson M, Koppelman J, Eggert LS. Genetic structure and recovery of white-tailed deer in Missouri. J Wildl Manage 2018. [DOI: 10.1002/jwmg.21546] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Kris Budd
- Division of Biological Sciences; University of Missouri; 226 Tucker Hall Columbia MO 65211 USA
| | - Leah K. Berkman
- Missouri Department of Conservation; 3500 E. Gans Road Columbia MO 65201 USA
| | - Michelle Anderson
- Missouri Department of Conservation; 3500 E. Gans Road Columbia MO 65201 USA
| | - Jeff Koppelman
- Missouri Department of Conservation; 3500 E. Gans Road Columbia MO 65201 USA
| | - Lori S. Eggert
- Division of Biological Sciences; University of Missouri; 226 Tucker Hall Columbia MO 65211 USA
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Whitt JG, Johnson JA, Reyna KS. Two centuries of human-mediated gene flow in northern bobwhites. WILDLIFE SOC B 2017. [DOI: 10.1002/wsb.829] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Jeffrey G. Whitt
- UNT Quail; University of North Texas; 1155 Union Circle, Denton TX 76203 USA
| | - Jeff A. Johnson
- Department of Biological Sciences; University of North Texas; 1155 Union Circle #310559 Denton TX 76203 USA
| | - Kelly S. Reyna
- UNT Quail; University of North Texas; 1155 Union Circle, Denton TX 76203 USA
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Williford D, Deyoung RW, Honeycutt RL, Brennan LA, Hernández F. Phylogeography of the bobwhite (Colinus) quails. WILDLIFE MONOGRAPHS 2015. [DOI: 10.1002/wmon.1017] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Damon Williford
- Caesar Kleberg Wildlife Research Institute; Texas A&M University-Kingsville; 700 University Boulevard MSC 218; Kingsville TX 78363 USA
| | - Randy W. Deyoung
- Caesar Kleberg Wildlife Research Institute; Texas A&M University-Kingsville; 700 University Boulevard MSC 218; Kingsville TX 78363 USA
| | - Rodney L. Honeycutt
- Natural Science Division; Pepperdine University, 24255 Pacific Coast Highway; Malibu CA 90263 USA
| | - Leonard A. Brennan
- Caesar Kleberg Wildlife Research Institute; Texas A&M University-Kingsville; 700 University Boulevard MSC 218; Kingsville TX 78363 USA
| | - Fidel Hernández
- Caesar Kleberg Wildlife Research Institute; Texas A&M University-Kingsville; 700 University Boulevard MSC 218; Kingsville TX 78363 USA
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Sumners JA, Demarais S, Deyoung RW, Honeycutt RL, Rooney AP, Gonzales RA, Gee KL. Variable breeding dates among populations of white-tailed deer in the southern United States: The legacy of restocking? J Wildl Manage 2015. [DOI: 10.1002/jwmg.954] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Jason A. Sumners
- Department of Wildlife; Fisheries and Aquaculture; Mississippi State University; Mississippi State MS 39762 USA
| | - Stephen Demarais
- Department of Wildlife; Fisheries and Aquaculture; Mississippi State University; Mississippi State MS 39762 USA
| | - Randy W. Deyoung
- Caesar Kleberg Wildlife Research Institute; Texas A&M University-Kingsville; Kingsville TX USA
| | - Rodney L. Honeycutt
- Natural Science Division, Pepperdine University; 24255 Pacific Coast Highway; Malibu CA 90263-4321 USA
| | - Alejandro P. Rooney
- National Center for Agricultural Utilization Research; Agricultural Research Service; U.S. Department of Agriculture; Peoria IL 61604 USA
| | | | - Kenneth L. Gee
- Samuel Roberts Noble Foundation; PO Box 2180 Ardmore; OK 73402 USA
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Aycrigg JL, Garton EO. Linking metapopulation structure to elk population management in Idaho: a genetic approach. J Mammal 2014. [DOI: 10.1644/12-mamm-a-300] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Robinson SJ, Walrath RD, Van Deelen TR, VerCauteren KC. Genetic measures confirm familial relationships and strengthen study design. WILDLIFE SOC B 2012. [DOI: 10.1002/wsb.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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WILLIAMS BRONWYNW, SCRIBNER KIMT. Effects of multiple founder populations on spatial genetic structure of reintroduced American martens. Mol Ecol 2010; 19:227-40. [DOI: 10.1111/j.1365-294x.2009.04455.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Miller BF, De Young RW, Campbell TA, Laseter BR, Ford WM, Miller KV. Fine-scale genetic and social structuring in a central Appalachian white-tailed deer herd. J Mammal 2010. [DOI: 10.1644/09-mamm-a-258.1] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Captive breeding and reintroduction of the lesser kestrel Falco naumanni: a genetic analysis using microsatellites. CONSERV GENET 2009. [DOI: 10.1007/s10592-009-9810-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Coltman DW. Molecular ecological approaches to studying the evolutionary impact of selective harvesting in wildlife. Mol Ecol 2008; 17:221-35. [PMID: 18173501 DOI: 10.1111/j.1365-294x.2007.03414.x] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Harvesting of wildlife populations by humans is usually targeted by sex, age or phenotypic criteria, and is therefore selective. Selective harvesting has the potential to elicit a genetic response from the target populations in several ways. First, selective harvesting may affect population demographic structure (age structure, sex ratio), which in turn may have consequences for effective population size and hence genetic diversity. Second, wildlife-harvesting regimes that use selective criteria based on phenotypic characteristics (e.g. minimum body size, horn length or antler size) have the potential to impose artificial selection on harvested populations. If there is heritable genetic variation for the target characteristic and harvesting occurs before the age of maturity, then an evolutionary response over time may ensue. Molecular ecological techniques offer ways to predict and detect genetic change in harvested populations, and therefore have great utility for effective wildlife management. Molecular markers can be used to assess the genetic structure of wildlife populations, and thereby assist in the prediction of genetic impacts by delineating evolutionarily meaningful management units. Genetic markers can be used for monitoring genetic diversity and changes in effective population size and breeding systems. Tracking evolutionary change at the phenotypic level in the wild through quantitative genetic analysis can be made possible by genetically determined pedigrees. Finally, advances in genome sequencing and bioinformatics offer the opportunity to study the molecular basis of phenotypic variation through trait mapping and candidate gene approaches. With this understanding, it could be possible to monitor the selective impacts of harvesting at a molecular level in the future. Effective wildlife management practice needs to consider more than the direct impact of harvesting on population dynamics. Programs that utilize molecular genetic tools will be better positioned to assess the long-term evolutionary impact of artificial selection on the evolutionary trajectory and viability of harvested populations.
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Affiliation(s)
- David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada T6G 2E9.
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The effects of gene flow and population isolation on the genetic structure of␣reintroduced wild turkey populations: Are genetic signatures of source populations retained? CONSERV GENET 2006. [DOI: 10.1007/s10592-005-9089-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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DeYoung RW, Demarais S, Honeycutt RL, Rooney AP, Gonzales RA, Gee KL. Genetic consequences of white-tailed deer (Odocoileus virginianus) restoration in Mississippi. Mol Ecol 2004; 12:3237-52. [PMID: 14629342 DOI: 10.1046/j.1365-294x.2003.01996.x] [Citation(s) in RCA: 74] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
White-tailed deer (Odocoileus virginianus) were nearly extirpated from the southeastern USA during the late 19th and early 20th centuries. Recovery programmes, including protection of remnant native stocks and transplants from other parts of the species' range, were initiated in the early 1900's. The recovery programmes were highly successful and deer are presently numerous and continuously distributed throughout the southeastern USA. However, the impact of the recovery programmes on the present genetic structure of white-tailed deer remains to be thoroughly investigated. We used 17 microsatellite DNA loci to assess genetic differentiation and diversity for 543 white-tailed deer representing 16 populations in Mississippi and three extra-state reference populations. There was significant genetic differentiation among all populations and the majority of genetic variation (> or = 93%) was contained within populations. Patterns of genetic structure, genetic similarity and isolation by distance within Mississippi were not concordant with geographical proximity of populations or subspecies delineations. We detected evidence of past genetic bottlenecks in nine of the 19 populations examined. However, despite experiencing genetic bottlenecks or founder events, allelic diversity and heterozygosity were uniformly high in all populations. These exceeded reported values for other cervid species that experienced similar population declines within the past century. The recovery programme was successful in that deer were restored to their former range while maintaining high and uniform genetic variability. Our results seem to confirm the importance of rapid population expansion and habitat continuity in retaining genetic variation in restored populations. However, the use of diverse transplant stocks and the varied demographic histories of populations resulted in fine-scale genetic structuring.
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Affiliation(s)
- Randy W DeYoung
- Department of Wildlife and Fisheries, Box 9690, Mississippi State University, MS 39762, USA.
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Williams CL, Serfass TL, Cogan R, Rhodes OE. Microsatellite variation in the reintroduced Pennsylvania elk herd. Mol Ecol 2002; 11:1299-310. [PMID: 12144652 DOI: 10.1046/j.1365-294x.2002.01546.x] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Relocation programs have restored elk (Cervus elaphus) to portions of its vast historical range. We examine the consequences of these relocation programs by assessing variation at 10 microsatellite loci in three elk herds, a source herd (Yellowstone National Park), a large herd reintroduced from Yellowstone (Custer State Park) and a bottlenecked herd reintroduced from both Yellowstone and Custer (the Pennsylvania herd). Observed single locus heterozygosities ranged from 0.000 to 0.739. Multi-locus heterozygosities ranged from 0.222 to 0.589. Although significant differences were detected among all three herds, the Yellowstone National Park and Custer State Park herds possessed similar levels of variation and heterozygosity, and the genetic distance between these two herds was small. The Pennsylvania herd, on the other hand, experienced a 61.5% decrease in heterozygosity relative to its source herds, possessed no unique and few rare alleles, and the genetic distances between the Pennsylvania herd and its sources were large. Simulations were performed to identify bottleneck scenarios in agreement with levels of variation in the Pennsylvania herd. Our data confirm that the rate of population growth post-relocation may have important genetic consequences and indicate that theoretical predictions regarding the maintenance of genetic variation during relocation events must be viewed with caution when small numbers of a polygynous species are released.
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Williams RN, Rhodes OE, Serfass TL. ASSESSMENT OF GENETIC VARIANCE AMONG SOURCE AND REINTRODUCED FISHER POPULATIONS. J Mammal 2000. [DOI: 10.1644/1545-1542(2000)081<0895:aogvas>2.3.co;2] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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